=================================================================================
waste_type total_waste_generated_tonne
1 Construction & Demolition 1624000
2 Ferrous Metals 1269000
3 Paper/Cardboard 1054000
4 Plastics 949000
5 Food 763000
6 Wood/Timber 521000
7 Horticultural 320000
8 Textile/Leather 220000
9 Used Slag 181000
10 Non-Ferrous Metals 171000
11 Glass 64000
12 Scrap Tyres 32000
13 Others (stones, ceramic, rubber, ect) 286000
14 Overall 7695000
15 Construction & Demolition 1440000
16 Ferrous Metals 1278000
17 Paper/Cardboard 1011000
18 Plastics 930000
19 Food 744000
20 Wood/Timber 438000
21 Horticultural 400000
22 Textile/Leather 168000
23 Used Slag 129000
24 Non-Ferrous Metals 126000
25 Glass 75000
26 Scrap Tyres 33000
27 Others (stones, ceramic, rubber, ect) 210000
28 Overall 7234000
29 Paper/Cardboard 1144000
30 Ferrous Metals 934000
31 Plastics 868000
32 Construction & Demolition 825000
33 Food 665000
34 Horticultural 313000
35 Wood/Timber 304000
36 Textile/Leather 137000
37 Used slag 106000
38 Non-Ferrous Metals 75000
39 Glass 66000
40 Scrap Tyres 23000
41 Others (stones, ceramic, rubber, ect) 193000
42 Overall 5880000
43 Construction & Demolition 1013000
44 Ferrous Metals 1312000
45 Paper/Cardboard 1136000
46 Plastics 982000
47 Food 817000
48 Wood/Timber 310000
49 Horticultural 332000
50 Textile/Leather 189000
51 Used Slag 182000
52 Non-Ferrous Metals 88000
53 Glass 74000
54 Scrap Tyres 27000
55 Others (stones, ceramic, rubber, ect) 233000
56 Overall 6944000
57 Construction & Demolition 1424000
58 Ferrous Metals 1338000
59 Paper/Cardboard 1064000
60 Plastics 1001000
61 Food 813000
62 Wood/Timber 419000
63 Horticultural 221000
64 Textile/Leather 254000
65 Used Slag 169000
66 Non-Ferrous Metals 92000
67 Glass 73000
68 Scrap Tyres 26000
69 Others (stones, ceramic, rubber, ect) 249000
70 Overall 7385000
71 Food 791000
72 Paper/Cardboard 1183000
73 Plastics 822000
74 Construction & Demolition 1595000
75 Horticultural 321000
76 Wood/Timber 531000
77 Ferrous Metals 1358000
78 Non-Ferrous Metals 97000
79 Used slag 251000
80 Glass 72000
81 Textile/Leather 151000
82 Scrap Tyres 33000
83 Others (stones, ceramic, rubber, ect) 383000
84 Overall 7814000
85 Food 786000
86 Paper/Cardboard 1192000
87 Plastics 825000
88 Construction & Demolition 1412000
89 Horticultural 362000
90 Wood/Timber 371000
91 Ferrous Metals 1349000
92 Non-Ferrous Metals 180000
93 Used slag 370000
94 Glass 75000
95 Textile/Leather 157000
96 Scrap Tyres 36000
97 Others (stones, ceramic, rubber, ect) 365000
98 Overall 7674000
99 Food 789000
100 Paper/Cardboard 1237000
101 Plastics 869000
102 Construction & Demolition 1270000
103 Horticultural 278000
104 Wood/Timber 368000
105 Ferrous Metals 1446000
106 Non-Ferrous Metals 118000
107 Used slag 366000
108 Glass 80000
109 Textile/Leather 159000
110 Scrap Tyres 26000
111 Others (stones, ceramic, rubber, ect) 360000
112 Overall 7515000
113 Food 796000
114 Paper/Cardboard 1261000
115 Plastics 832000
116 Construction & Demolition 1695000
117 Wood/Timber 332000
118 Horticultural 253000
119 Ferrous Metals 1416000
120 Non-Ferrous Metals 135000
121 Used Slag 354000
122 Glass 74000
123 Textile/Leather 157000
124 Scrap Tyres 22000
125 Others (stones, ceramic, rubber, ect) 335000
126 Overall 7852000
127 Food 703000
128 Paper/Cardboard 1252000
129 Plastics 803000
130 Construction & Demolition 1292000
131 Wood/Timber 344000
132 Horticultural 248000
133 Ferrous Metals 1386000
134 Non-Ferrous Metals 123000
135 Used Slag 368000
136 Glass 75000
137 Textile/Leather 159000
138 Scrap Tyres 18000
139 Others (stones, ceramic, rubber, ect) 338000
140 Overall 7270000
141 Food 676000
142 Paper/Cardboard 1368000
143 Plastics 733000
144 Construction & Demolition 1204000
145 Wood/Timber 274000
146 Horticultural 239000
147 Ferrous Metals 1239000
148 Non-Ferrous Metals 117000
149 Used Slag 342000
150 Glass 73000
151 Textile/Leather 131000
152 Scrap Tyres 22000
153 Others (stones, ceramic, rubber, ect) 328000
154 Overall 6898000
155 Food 641000
156 Paper/Cardboard 1384000
157 Plastics 740000
158 Construction & Demolition 922000
159 Wood/Timber 270000
160 Horticultural 251000
161 Ferrous Metals 1195000
162 Non-Ferrous Metals 86000
163 Used Slag 383000
164 Glass 80000
165 Textile/Leather 121000
166 Scrap Tyres 24000
167 Others (stones, ceramic, rubber, ect) 307000
168 Overall 6517000
169 Food 606000
170 Paper/Cardboard 1201000
171 Plastics 689000
172 Construction & Demolition 1176000
173 Wood/Timber 288000
174 Horticultural 238000
175 Ferrous Metals 872000
176 Non-Ferrous Metals 58000
177 Used Slag 422000
178 Glass 73000
179 Textile/Leather 109000
180 Scrap Tyres 23000
181 Others (stones, ceramic, rubber, ect) 271000
182 Overall 6114000
183 Food 568000
184 Paper/Cardboard 1263000
185 Plastics 684000
186 Construction & Demolition 922000
187 Wood/Timber 270000
188 Horticultural 229000
189 Ferrous Metals 785000
190 Non-Ferrous Metals 85000
191 Used Slag 566000
192 Glass 57000
193 Textile/Leather 93000
194 Scrap Tyres 25000
195 Others (stones, ceramic, rubber, ect) 308000
196 Overall 5970000
197 Food 559000
198 Paper/Cardboard 1203000
199 Plastics 660000
200 Construction & Demolition 778000
201 Wood/Timber 246000
202 Horticultural 225000
203 Ferrous Metals 737000
204 Non-Ferrous Metals 92000
205 Used Slag 527000
206 Glass 65000
207 Textile/Leather 110000
208 Scrap Tyres 26000
209 Others (stones, ceramic, rubber, ect) 249000
210 Overall 5601000
211 Food 543000
212 Paper/Cardboard 1116000
213 Plastics 657000
214 Construction & Demolition 619000
215 Wood/Timber 224000
216 Horticultural 231000
217 Ferrous Metals 726000
218 Non-Ferrous Metals 87000
219 Used Slag 471000
220 Glass 63000
221 Textile/Leather 92000
222 Scrap Tyres 24000
223 Others (stones, ceramic, rubber, ect) 242000
224 Overall 5221000
225 Food 532000
226 Paper/Cardboard 1099000
227 Plastics 675000
228 Construction & Demolition 493000
229 Wood/Timber 239000
230 Horticultural 200000
231 Ferrous Metals 818000
232 Non-Ferrous Metals 89000
233 Used Slag 382000
234 Glass 63000
235 Textile/Leather 89000
236 Scrap Tyres 17000
237 Others (stones, ceramic, rubber, ect) 225000
238 Overall 5018000
239 Food 531000
240 Paper/Cardboard 1132000
241 Plastics 683000
242 Construction & Demolition 509000
243 Wood/Timber 222000
244 Horticultural 227000
245 Ferrous Metals 720000
246 Non-Ferrous Metals 87000
247 Used Slag 267000
248 Glass 74000
249 Textile/Leather 115000
250 Scrap Tyres 15000
251 Others (stones, ceramic, rubber, ect) 114000
252 Overall 4790000
253 Food 548000
254 Paper/Cardboard 1085000
255 Plastics 580000
256 Construction & Demolition 423000
257 Wood/Timber 213000
258 Horticultural 305000
259 Ferrous Metals 857000
260 Non-Ferrous Metals 94000
261 Used Slag 260000
262 Glass 66000
263 Textile/Leather 92000
264 Scrap Tyres 14000
265 Others (stones, ceramic, rubber, ect) 104000
266 Overall 4728000
267 Construction & Demolition 1609000
268 Ferrous Metals 1379000
269 Used slag 273000
270 Non-Ferrous Metals 94000
271 Scrap Tyres 36000
272 Wood/Timber 424000
273 Horticultural 328000
274 Paper/Cardboard 1145000
275 Glass 71000
276 Food 810000
277 Plastics 815000
278 Textile/Leather 151000
279 Others (stones, ceramic, rubber, ect) 326000
280 Overall 7704000
total_waste_recycled_tonne year total_waste_not_recycled_tonne
1 1618000 2018 6
2 126000 2018 1143
3 586000 2018 468
4 41000 2018 908
5 126000 2018 637
6 428000 2018 93
7 227000 2018 93
8 14000 2018 206
9 179000 2018 2
10 170000 2018 1
11 12000 2018 52
12 29000 2018 3
13 11000 2018 275
14 4726000 2018 2969
15 1434000 2019 6
16 1270000 2019 8
17 449000 2019 562
18 37000 2019 893
19 136000 2019 608
20 289000 2019 149
21 293000 2019 107
22 6000 2019 162
23 127000 2019 2
24 124000 2019 2
25 11000 2019 64
26 31000 2019 2
27 15000 2019 195
28 4247000 2019 2987
29 432000 2020 712
30 930000 2020 4
31 36000 2020 832
32 822000 2020 3
33 126000 2020 539
34 249000 2020 64
35 195000 2020 109
36 6000 2020 131
37 104000 2020 2
38 73000 2020 2
39 7000 2020 59
40 22000 2020 1
41 21000 2020 172
42 3040000 2020 2840
43 1011000 2021 2
44 1306000 2021 6
45 437000 2021 699
46 58000 2021 924
47 154000 2021 663
48 234000 2021 76
49 277000 2021 55
50 7000 2021 182
51 181000 2021 1
52 87000 2021 1
53 9000 2021 65
54 26000 2021 1
55 18000 2021 215
56 3826000 2021 3118
57 1419000 2022 5
58 1331000 2022 7
59 394000 2022 670
60 57000 2022 944
61 146000 2022 667
62 298000 2022 121
63 188000 2022 33
64 5000 2022 249
65 166000 2022 3
66 91000 2022 1
67 11000 2022 62
68 25000 2022 1
69 30000 2022 219
70 4188000 2022 3197
71 111000 2016 680
72 607000 2016 576
73 60000 2016 762
74 1586000 2016 9
75 209000 2016 112
76 412000 2016 119
77 1352000 2016 6
78 96000 2016 1
79 247000 2016 4
80 15000 2016 57
81 11000 2016 140
82 30000 2016 3
83 7000 2016 376
84 4769000 2016 3045
85 104000 2015 682
86 604000 2015 588
87 58000 2015 767
88 1403000 2015 9
89 237000 2015 125
90 294000 2015 77
91 1333000 2015 16
92 160000 2015 20
93 366000 2015 4
94 15000 2015 60
95 13000 2015 144
96 33000 2015 3
97 6000 2015 359
98 4650000 2015 3024
99 101000 2014 688
100 647000 2014 590
101 80000 2014 789
102 1260000 2014 10
103 163000 2014 115
104 293000 2014 75
105 1389000 2014 57
106 95000 2014 23
107 361000 2014 5
108 16000 2014 64
109 17000 2014 142
110 23000 2014 3
111 5000 2014 355
112 4471000 2014 3044
113 100000 2013 696
114 679000 2013 582
115 91000 2013 741
116 1683000 2013 12
117 255000 2013 77
118 121000 2013 132
119 1369000 2013 47
120 114000 2013 21
121 345000 2013 9
122 15000 2013 59
123 16000 2013 141
124 19000 2013 3
125 5000 2013 330
126 4826000 2013 3026
127 85000 2012 618
128 697000 2012 555
129 82000 2012 721
130 1283000 2012 9
131 236000 2012 108
132 108000 2012 140
133 1331000 2012 55
134 97000 2012 26
135 358000 2012 10
136 20000 2012 55
137 18000 2012 141
138 16000 2012 2
139 5000 2012 333
140 4336000 2012 2934
141 70000 2011 606
142 765000 2011 603
143 77000 2011 656
144 1191000 2011 13
145 177000 2011 97
146 89000 2011 150
147 1172000 2011 67
148 103000 2011 14
149 336000 2011 6
150 21000 2011 52
151 17000 2011 114
152 18000 2011 4
153 3000 2011 325
154 4039000 2011 2859
155 102000 2010 539
156 738000 2010 646
157 78000 2010 662
158 912000 2010 10
159 190000 2010 80
160 99000 2010 152
161 1128000 2010 67
162 73000 2010 13
163 379000 2010 4
164 19000 2010 61
165 15000 2010 106
166 20000 2010 4
167 4000 2010 303
168 3758000 2010 2759
169 77000 2009 529
170 574000 2009 627
171 60000 2009 629
172 1151000 2009 25
173 207000 2009 81
174 94000 2009 144
175 806000 2009 66
176 48000 2009 10
177 419000 2009 3
178 16000 2009 57
179 13000 2009 96
180 19000 2009 4
181 3000 2009 268
182 3485000 2009 2629
183 68000 2008 500
184 609000 2008 654
185 61000 2008 623
186 900000 2008 22
187 190000 2008 80
188 96000 2008 133
189 735000 2008 50
190 72000 2008 13
191 561000 2008 5
192 10000 2008 47
193 11000 2008 82
194 22000 2008 3
195 8000 2008 300
196 3343000 2008 2627
197 51000 2007 508
198 619000 2007 584
199 75000 2007 585
200 759000 2007 19
201 128000 2007 118
202 91000 2007 134
203 668000 2007 69
204 76000 2007 16
205 520000 2007 7
206 6000 2007 59
207 6000 2007 104
208 22000 2007 4
209 14000 2007 235
210 3035000 2007 2566
211 45000 2006 498
212 571000 2006 545
213 78000 2006 579
214 604000 2006 15
215 82000 2006 142
216 87000 2006 144
217 657000 2006 69
218 71000 2006 16
219 417000 2006 54
220 6000 2006 57
221 4000 2006 88
222 19000 2006 5
223 15000 2006 227
224 2657000 2006 2564
225 37000 2005 495
226 541000 2005 558
227 86000 2005 589
228 465000 2005 28
229 90000 2005 149
230 101000 2005 99
231 749000 2005 69
232 75000 2005 14
233 299000 2005 83
234 4000 2005 59
235 4000 2005 85
236 11000 2005 6
237 9000 2005 216
238 2469000 2005 2549
239 31000 2004 500
240 520000 2004 612
241 74000 2004 609
242 471000 2004 38
243 74000 2004 148
244 128000 2004 99
245 650000 2004 70
246 72000 2004 15
247 260000 2004 7
248 5000 2004 69
249 5000 2004 110
250 7000 2004 8
251 11000 2004 103
252 2307000 2004 2483
253 33000 2003 515
254 466000 2003 619
255 39000 2003 541
256 398000 2003 25
257 41000 2003 172
258 119000 2003 186
259 799000 2003 58
260 76000 2003 18
261 239000 2003 21
262 6000 2003 60
263 1000 2003 91
264 6000 2003 8
265 0 2003 104
266 2223000 2003 2505
267 1600000 2017 9
268 1371000 2017 8
269 269000 2017 4
270 92000 2017 2
271 33000 2017 3
272 327000 2017 97
273 221000 2017 107
274 569000 2017 576
275 12000 2017 59
276 133000 2017 677
277 52000 2017 763
278 10000 2017 141
279 7000 2017 319
280 4724000 2017 2980
recycling_rate wasting_rate
1 1.00 0.00
2 0.10 0.90
3 0.56 0.44
4 0.04 0.96
5 0.17 0.83
6 0.82 0.18
7 0.71 0.29
8 0.06 0.94
9 0.99 0.01
10 0.99 0.01
11 0.19 0.81
12 0.91 0.09
13 0.04 0.96
14 0.61 0.39
15 1.00 0.00
16 0.99 0.01
17 0.44 0.56
18 0.04 0.96
19 0.18 0.82
20 0.66 0.34
21 0.73 0.27
22 0.04 0.96
23 0.98 0.02
24 0.98 0.02
25 0.15 0.85
26 0.94 0.06
27 0.07 0.93
28 0.59 0.41
29 0.38 0.62
30 1.00 0.00
31 0.04 0.96
32 1.00 0.00
33 0.19 0.81
34 0.80 0.20
35 0.64 0.36
36 0.04 0.96
37 0.98 0.02
38 0.97 0.03
39 0.11 0.89
40 0.96 0.04
41 0.11 0.89
42 0.52 0.48
43 1.00 0.00
44 1.00 0.00
45 0.38 0.62
46 0.06 0.94
47 0.19 0.81
48 0.75 0.25
49 0.83 0.17
50 0.04 0.96
51 0.99 0.01
52 0.99 0.01
53 0.12 0.88
54 0.96 0.04
55 0.08 0.92
56 0.55 0.45
57 1.00 0.00
58 0.99 0.01
59 0.37 0.63
60 0.06 0.94
61 0.18 0.82
62 0.71 0.29
63 0.85 0.15
64 0.02 0.98
65 0.98 0.02
66 0.99 0.01
67 0.15 0.85
68 0.96 0.04
69 0.12 0.88
70 0.57 0.43
71 0.14 0.86
72 0.51 0.49
73 0.07 0.93
74 0.99 0.01
75 0.65 0.35
76 0.78 0.22
77 1.00 0.00
78 0.99 0.01
79 0.98 0.02
80 0.21 0.79
81 0.07 0.93
82 0.91 0.09
83 0.02 0.98
84 0.61 0.39
85 0.13 0.87
86 0.51 0.49
87 0.07 0.93
88 0.99 0.01
89 0.65 0.35
90 0.79 0.21
91 0.99 0.01
92 0.89 0.11
93 0.99 0.01
94 0.20 0.80
95 0.08 0.92
96 0.92 0.08
97 0.02 0.98
98 0.61 0.39
99 0.13 0.87
100 0.52 0.48
101 0.09 0.91
102 0.99 0.01
103 0.59 0.41
104 0.80 0.20
105 0.96 0.04
106 0.81 0.19
107 0.99 0.01
108 0.20 0.80
109 0.11 0.89
110 0.88 0.12
111 0.01 0.99
112 0.59 0.41
113 0.13 0.87
114 0.54 0.46
115 0.11 0.89
116 0.99 0.01
117 0.77 0.23
118 0.48 0.52
119 0.97 0.03
120 0.84 0.16
121 0.97 0.03
122 0.20 0.80
123 0.10 0.90
124 0.86 0.14
125 0.01 0.99
126 0.61 0.39
127 0.12 0.88
128 0.56 0.44
129 0.10 0.90
130 0.99 0.01
131 0.69 0.31
132 0.44 0.56
133 0.96 0.04
134 0.79 0.21
135 0.97 0.03
136 0.27 0.73
137 0.11 0.89
138 0.89 0.11
139 0.01 0.99
140 0.60 0.40
141 0.10 0.90
142 0.56 0.44
143 0.11 0.89
144 0.99 0.01
145 0.65 0.35
146 0.37 0.63
147 0.95 0.05
148 0.88 0.12
149 0.98 0.02
150 0.29 0.71
151 0.13 0.87
152 0.82 0.18
153 0.01 0.99
154 0.59 0.41
155 0.16 0.84
156 0.53 0.47
157 0.11 0.89
158 0.99 0.01
159 0.70 0.30
160 0.39 0.61
161 0.94 0.06
162 0.85 0.15
163 0.99 0.01
164 0.24 0.76
165 0.12 0.88
166 0.83 0.17
167 0.01 0.99
168 0.58 0.42
169 0.13 0.87
170 0.48 0.52
171 0.09 0.91
172 0.98 0.02
173 0.72 0.28
174 0.39 0.61
175 0.92 0.08
176 0.83 0.17
177 0.99 0.01
178 0.22 0.78
179 0.12 0.88
180 0.83 0.17
181 0.01 0.99
182 0.57 0.43
183 0.12 0.88
184 0.48 0.52
185 0.09 0.91
186 0.98 0.02
187 0.70 0.30
188 0.42 0.58
189 0.94 0.06
190 0.85 0.15
191 0.99 0.01
192 0.18 0.82
193 0.12 0.88
194 0.88 0.12
195 0.03 0.97
196 0.56 0.44
197 0.09 0.91
198 0.51 0.49
199 0.11 0.89
200 0.98 0.02
201 0.52 0.48
202 0.40 0.60
203 0.91 0.09
204 0.83 0.17
205 0.99 0.01
206 0.09 0.91
207 0.05 0.95
208 0.85 0.15
209 0.06 0.94
210 0.54 0.46
211 0.08 0.92
212 0.51 0.49
213 0.12 0.88
214 0.98 0.02
215 0.37 0.63
216 0.38 0.62
217 0.90 0.10
218 0.82 0.18
219 0.89 0.11
220 0.10 0.90
221 0.04 0.96
222 0.79 0.21
223 0.06 0.94
224 0.51 0.49
225 0.07 0.93
226 0.49 0.51
227 0.13 0.87
228 0.94 0.06
229 0.38 0.62
230 0.50 0.50
231 0.92 0.08
232 0.84 0.16
233 0.78 0.22
234 0.06 0.94
235 0.04 0.96
236 0.65 0.35
237 0.04 0.96
238 0.49 0.51
239 0.06 0.94
240 0.46 0.54
241 0.11 0.89
242 0.93 0.07
243 0.33 0.67
244 0.56 0.44
245 0.90 0.10
246 0.83 0.17
247 0.97 0.03
248 0.07 0.93
249 0.04 0.96
250 0.47 0.53
251 0.10 0.90
252 0.48 0.52
253 0.06 0.94
254 0.43 0.57
255 0.07 0.93
256 0.94 0.06
257 0.19 0.81
258 0.39 0.61
259 0.93 0.07
260 0.81 0.19
261 0.92 0.08
262 0.09 0.91
263 0.01 0.99
264 0.43 0.57
265 0.00 1.00
266 0.47 0.53
267 0.99 0.01
268 0.99 0.01
269 0.99 0.01
270 0.98 0.02
271 0.92 0.08
272 0.77 0.23
273 0.67 0.33
274 0.50 0.50
275 0.17 0.83
276 0.16 0.84
277 0.06 0.94
278 0.07 0.93
279 0.02 0.98
280 0.61 0.39# A tibble: 15 × 3
Material Total Waste Generate…¹ Total Waste Recycled…²
<chr> <dbl> <dbl>
1 Overall 131824000 75119000
2 Paper/Cardboard 23530000 11504000
3 Ferrous Metals 22414000 20472000
4 Construction & Demolition 22245000 21970000
5 Plastics 15797000 1280000
6 Food 13681000 1836000
7 Wood/Timber 6608000 4440000
8 Horticultural 5521000 3197000
9 Others (stones, ceramic, rubbe… 5426000 197000
10 Used Slag 5003000 4786000
11 Textile/Leather 2854000 199000
12 Non-Ferrous Metals 2094000 1865000
13 Glass 1413000 236000
14 Used slag 1366000 1347000
15 Scrap Tyres 502000 431000
# ℹ abbreviated names: ¹`Total Waste Generated (tonnes)`,
# ²`Total Waste Recycled (tonnes)`# A tibble: 15 × 3
waste_type total_waste_generated total_waste_recycled
<chr> <dbl> <dbl>
1 Overall 131824000 75119000
2 Paper/Cardboard 23530000 11504000
3 Ferrous Metals 22414000 20472000
4 Construction & Demolition 22245000 21970000
5 Plastics 15797000 1280000
6 Food 13681000 1836000
7 Wood/Timber 6608000 4440000
8 Horticultural 5521000 3197000
9 Others (stones, ceramic, rubber, … 5426000 197000
10 Used Slag 5003000 4786000
11 Textile/Leather 2854000 199000
12 Non-Ferrous Metals 2094000 1865000
13 Glass 1413000 236000
14 Used slag 1366000 1347000
15 Scrap Tyres 502000 431000 waste_type total_waste_generated_tonne
1 Construction & Demolition 1624000
2 Construction & Demolition 1440000
3 Construction & Demolition 825000
4 Construction & Demolition 1013000
5 Construction & Demolition 1424000
6 Construction & Demolition 1595000
total_waste_recycled_tonne year total_waste_not_recycled_tonne recycling_rate
1 1618000 2018 6 1.00
2 1434000 2019 6 1.00
3 822000 2020 3 1.00
4 1011000 2021 2 1.00
5 1419000 2022 5 1.00
6 1586000 2016 9 0.99
wasting_rate energy_saved crude_oil_saved
1 0.00 34644 96.00
2 0.00 252 0.72
3 0.00 1926 5.40
4 0.00 28000 80.00
5 0.00 20500 55.00
6 0.01 3600 9.90======================================================================= ### Chart E
#```{r} #scatter plot graph fig <- plot_ly( data = total_data, x = ~year, y = ~energy_saved, size = ~total_waste_generate_tonne, color = ~material, sizes = c(10, 60), type = “scatter”, mode = “markers” )
fig
annual_energy_savings <- total_data %>% group_by(year) %>% summarize(energy_saved = sum(energy_saved))
annual_energy_savings\(total_energy_saved <- round(annual_energy_savings\)energy_saved / 1000000, 2)
tail(annual_energy_savings) ```